AI & Knowledge Engineering in the OT Domain
Description
AI & Knowledge Engineering in the OT Domain, a conference dedicated to advancing industrial digitalization through knowledge sharing, open standards, and open-source collaboration. The event will gather leading industrial actors, research communities, and technology providers to strengthen national and international efforts in interoperability, semantics, AI, and secure digital ecosystems within Operational Technology (OT) environments.
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Meet the speakers
Karin Sundsvik
Theme:Welcome by Karin Sundsvik | NFEA
Asle Davidsen
Theme:Industrial AI Starts Before the Algorithm: Structuring OT Knowledge for Scale
Dr. Thiago Weber Martins
Theme:How can ERP system fit into the industry 4.0 framework
Jan Even Hjelmtvedt
Theme:OT Dreams – Agentic AI
Dr. Christian Mosch
Theme:IDTA and Initiatives
Martin Becker
Theme:Digital Twin Engineering
Veronika Heimsbakk
Theme:From Data Engineering to Knowledge Engineering
Dr. Christian A. Andresen
Theme:Modelling Energy Systems using AI
Bjarne-Andre Asheim
Theme:From Static HAZOPs to Living Safeguards: Operationalizing Process Safety Knowledge in OT
Dr. Harald Stadlbauer
Theme:Generative AI – The Revolution That Changes Everything
Odd Are Svensen
Theme:Industrial use of the AAS submodel Intelligent Information for Use (based on iiRDS)
Thorsten Jankowski
Theme:TBA
Øivind Rui
Theme:PCN/PDN as a real-time value in Engineering based on seamless collaboration
David Cameron
Theme:Knowledge Graph Implementations
Stefan Schnake
Theme:The Potential of DEXPI 2.0. Reasoning on P&ID (Academic Work Towards DEXPI)
Nafise Eskandani
Theme:Digital Twins in Real Factories
Pål Hellesnes
Theme:From Raw Data to Intelligent Assets: How AI Powers AAS-Compliant Digital Representations
Christopher Daffinrud
Theme:Why Industrial AI Fails Without Trusted Data
Sofie Aarnes
Theme:Condition-Based Monitoring: Applying Systems Engineering in Practice
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